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A spatiotemporal data aggregation technique for performance analysis of large-scale execution traces

contributor authorDosimont, Damien
contributor authorLamarche-Perrin, Robin
contributor authorSchnorr, Lucas Mello
contributor authorHuard, Guillaume
contributor authorVincent, Jean-Marc
date accessioned2020-03-12T21:58:40Z
date available2020-03-12T21:58:40Z
date issued2014
identifier other6968741.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1067140?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA spatiotemporal data aggregation technique for performance analysis of large-scale execution traces
typeConference Paper
contenttypeMetadata Only
identifier padid8201620
subject keywordsCCD image sensors
subject keywordsn Cherenkov counters
subject keywordsn radioactive waste
subject keywordsn CCD cameras
subject keywordsn Cherenkov glow analysis
subject keywordsn Cherenkov viewing device
subject keywordsn LumiDISP measuring system
subject keywordsn fuel assembly
subject keywordsn fuel pin manipulation
subject keywordsn luminance distribution processing
subject keywordsn nonproliferation risk
subject keywordsn nuclear fuel diversion
subject keywordsn nuclear power plant
subject keywordsn nuclear power plants
subject keywordsn physical security
subject keywordsn proliferation risk
subject keywordsn spent fuel inspections
subject keywordsn Assembly
subject keywordsn Cameras
subject keywordsn Fuels
subject keywordsn Power generation
identifier doi10.1109/EPE.2014.6839513
journal titleluster Computing (CLUSTER), 2014 IEEE International Conference on
filesize67031
citations0


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